Task
Supervised Classification on mfeat-karhunen

Supervised Classification on mfeat-karhunen

Task 16 Supervised Classification mfeat-karhunen 27350 runs submitted
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  • at2 basic OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_7 study_70 study_98 study_99 under100k under1m
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27350 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.975, kappa: 0.9722, kb_relative_information_score: 0.9466, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.18, weighted_recall: 0.975, number_of_instances: 2000, precision: 0.9751, predictive_accuracy: 0.975, prior_entropy: 3.3219, relative_absolute_error: 0.0962, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0688, root_relative_squared_error: 0.2294, unweighted_recall: 0.975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9128, kappa: 0.8922, kb_relative_information_score: 0.8194, mean_absolute_error: 0.047, mean_prior_absolute_error: 0.18, weighted_recall: 0.903, number_of_instances: 2000, precision: 0.9414, predictive_accuracy: 0.903, prior_entropy: 3.3219, relative_absolute_error: 0.2614, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1331, root_relative_squared_error: 0.4436, unweighted_recall: 0.903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9356, f_measure: 0.7051, kappa: 0.6611, kb_relative_information_score: 0.585, mean_absolute_error: 0.1073, mean_prior_absolute_error: 0.18, weighted_recall: 0.695, number_of_instances: 2000, precision: 0.7332, predictive_accuracy: 0.695, prior_entropy: 3.3219, relative_absolute_error: 0.5961, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2146, root_relative_squared_error: 0.7153, unweighted_recall: 0.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9615, kappa: 0.9572, kb_relative_information_score: 0.9247, mean_absolute_error: 0.0235, mean_prior_absolute_error: 0.18, weighted_recall: 0.9615, number_of_instances: 2000, precision: 0.9617, predictive_accuracy: 0.9615, prior_entropy: 3.3219, relative_absolute_error: 0.1306, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0853, root_relative_squared_error: 0.2844, unweighted_recall: 0.9615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9656, kappa: 0.9617, kb_relative_information_score: 0.9338, mean_absolute_error: 0.0211, mean_prior_absolute_error: 0.18, weighted_recall: 0.9655, number_of_instances: 2000, precision: 0.9659, predictive_accuracy: 0.9655, prior_entropy: 3.3219, relative_absolute_error: 0.1173, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.078, root_relative_squared_error: 0.26, unweighted_recall: 0.9655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.7912, kappa: 0.7139, kb_relative_information_score: 0.4126, mean_absolute_error: 0.1305, mean_prior_absolute_error: 0.18, weighted_recall: 0.7425, number_of_instances: 2000, precision: 0.9255, predictive_accuracy: 0.7425, prior_entropy: 3.3219, relative_absolute_error: 0.7249, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.24, root_relative_squared_error: 0.7998, unweighted_recall: 0.7425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9471, kappa: 0.9383, kb_relative_information_score: 0.9013, mean_absolute_error: 0.0269, mean_prior_absolute_error: 0.18, weighted_recall: 0.9445, number_of_instances: 2000, precision: 0.9556, predictive_accuracy: 0.9445, prior_entropy: 3.3219, relative_absolute_error: 0.1494, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0981, root_relative_squared_error: 0.327, unweighted_recall: 0.9445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.974, kappa: 0.9711, kb_relative_information_score: 0.9498, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.18, weighted_recall: 0.974, number_of_instances: 2000, precision: 0.9741, predictive_accuracy: 0.974, prior_entropy: 3.3219, relative_absolute_error: 0.0872, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0682, root_relative_squared_error: 0.2275, unweighted_recall: 0.974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.968, kappa: 0.9644, kb_relative_information_score: 0.9421, mean_absolute_error: 0.018, mean_prior_absolute_error: 0.18, weighted_recall: 0.968, number_of_instances: 2000, precision: 0.9682, predictive_accuracy: 0.968, prior_entropy: 3.3219, relative_absolute_error: 0.0998, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0735, root_relative_squared_error: 0.2449, unweighted_recall: 0.968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9755, kappa: 0.9728, kb_relative_information_score: 0.9473, mean_absolute_error: 0.0171, mean_prior_absolute_error: 0.18, weighted_recall: 0.9755, number_of_instances: 2000, precision: 0.9756, predictive_accuracy: 0.9755, prior_entropy: 3.3219, relative_absolute_error: 0.095, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0682, root_relative_squared_error: 0.2274, unweighted_recall: 0.9755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9656, kappa: 0.9617, kb_relative_information_score: 0.9309, mean_absolute_error: 0.0219, mean_prior_absolute_error: 0.18, weighted_recall: 0.9655, number_of_instances: 2000, precision: 0.9658, predictive_accuracy: 0.9655, prior_entropy: 3.3219, relative_absolute_error: 0.1218, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0804, root_relative_squared_error: 0.2679, unweighted_recall: 0.9655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9736, kappa: 0.9706, kb_relative_information_score: 0.9447, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.18, weighted_recall: 0.9735, number_of_instances: 2000, precision: 0.9738, predictive_accuracy: 0.9735, prior_entropy: 3.3219, relative_absolute_error: 0.094, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0721, root_relative_squared_error: 0.2402, unweighted_recall: 0.9735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9585, kappa: 0.9539, kb_relative_information_score: 0.9247, mean_absolute_error: 0.0227, mean_prior_absolute_error: 0.18, weighted_recall: 0.9585, number_of_instances: 2000, precision: 0.9587, predictive_accuracy: 0.9585, prior_entropy: 3.3219, relative_absolute_error: 0.1261, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0878, root_relative_squared_error: 0.2926, unweighted_recall: 0.9585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.8267, kappa: 0.7661, kb_relative_information_score: 0.5666, mean_absolute_error: 0.1027, mean_prior_absolute_error: 0.18, weighted_recall: 0.7895, number_of_instances: 2000, precision: 0.9267, predictive_accuracy: 0.7895, prior_entropy: 3.3219, relative_absolute_error: 0.5703, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2067, root_relative_squared_error: 0.689, unweighted_recall: 0.7895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9241, kappa: 0.9156, kb_relative_information_score: 0.9163, mean_absolute_error: 0.0212, mean_prior_absolute_error: 0.18, weighted_recall: 0.924, number_of_instances: 2000, precision: 0.9244, predictive_accuracy: 0.924, prior_entropy: 3.3219, relative_absolute_error: 0.1177, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1168, root_relative_squared_error: 0.3894, unweighted_recall: 0.924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9197, kappa: 0.9106, kb_relative_information_score: 0.9128, mean_absolute_error: 0.0222, mean_prior_absolute_error: 0.18, weighted_recall: 0.9195, number_of_instances: 2000, precision: 0.9201, predictive_accuracy: 0.9195, prior_entropy: 3.3219, relative_absolute_error: 0.1232, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1199, root_relative_squared_error: 0.3998, unweighted_recall: 0.9195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9465, kappa: 0.9406, kb_relative_information_score: 0.9297, mean_absolute_error: 0.0202, mean_prior_absolute_error: 0.18, weighted_recall: 0.9465, number_of_instances: 2000, precision: 0.9465, predictive_accuracy: 0.9465, prior_entropy: 3.3219, relative_absolute_error: 0.1122, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.098, root_relative_squared_error: 0.3266, unweighted_recall: 0.9465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.943, kappa: 0.9367, kb_relative_information_score: 0.9265, mean_absolute_error: 0.0207, mean_prior_absolute_error: 0.18, weighted_recall: 0.943, number_of_instances: 2000, precision: 0.9431, predictive_accuracy: 0.943, prior_entropy: 3.3219, relative_absolute_error: 0.1151, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1024, root_relative_squared_error: 0.3414, unweighted_recall: 0.943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9267, kappa: 0.9183, kb_relative_information_score: 0.9167, mean_absolute_error: 0.0212, mean_prior_absolute_error: 0.18, weighted_recall: 0.9265, number_of_instances: 2000, precision: 0.927, predictive_accuracy: 0.9265, prior_entropy: 3.3219, relative_absolute_error: 0.1178, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1165, root_relative_squared_error: 0.3883, unweighted_recall: 0.9265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9308, kappa: 0.9233, kb_relative_information_score: 0.5626, mean_absolute_error: 0.1243, mean_prior_absolute_error: 0.18, weighted_recall: 0.931, number_of_instances: 2000, precision: 0.9318, predictive_accuracy: 0.931, prior_entropy: 3.3219, relative_absolute_error: 0.6904, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2134, root_relative_squared_error: 0.7114, unweighted_recall: 0.931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9524, kappa: 0.9472, kb_relative_information_score: 0.9006, mean_absolute_error: 0.0333, mean_prior_absolute_error: 0.18, weighted_recall: 0.9525, number_of_instances: 2000, precision: 0.9528, predictive_accuracy: 0.9525, prior_entropy: 3.3219, relative_absolute_error: 0.1853, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0973, root_relative_squared_error: 0.3244, unweighted_recall: 0.9525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.947, kappa: 0.9411, kb_relative_information_score: 0.8501, mean_absolute_error: 0.0514, mean_prior_absolute_error: 0.18, weighted_recall: 0.947, number_of_instances: 2000, precision: 0.9476, predictive_accuracy: 0.947, prior_entropy: 3.3219, relative_absolute_error: 0.2856, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1162, root_relative_squared_error: 0.3874, unweighted_recall: 0.947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9241, kappa: 0.9156, kb_relative_information_score: 0.9163, mean_absolute_error: 0.0212, mean_prior_absolute_error: 0.18, weighted_recall: 0.924, number_of_instances: 2000, precision: 0.9244, predictive_accuracy: 0.924, prior_entropy: 3.3219, relative_absolute_error: 0.1177, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1168, root_relative_squared_error: 0.3894, unweighted_recall: 0.924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9529, kappa: 0.9478, kb_relative_information_score: 0.9092, mean_absolute_error: 0.0296, mean_prior_absolute_error: 0.18, weighted_recall: 0.953, number_of_instances: 2000, precision: 0.9531, predictive_accuracy: 0.953, prior_entropy: 3.3219, relative_absolute_error: 0.1647, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0975, root_relative_squared_error: 0.3251, unweighted_recall: 0.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9339, kappa: 0.9267, kb_relative_information_score: 0.9233, mean_absolute_error: 0.0201, mean_prior_absolute_error: 0.18, weighted_recall: 0.934, number_of_instances: 2000, precision: 0.934, predictive_accuracy: 0.934, prior_entropy: 3.3219, relative_absolute_error: 0.1117, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1099, root_relative_squared_error: 0.3663, unweighted_recall: 0.934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.933, kappa: 0.9256, kb_relative_information_score: 0.9226, mean_absolute_error: 0.0204, mean_prior_absolute_error: 0.18, weighted_recall: 0.933, number_of_instances: 2000, precision: 0.9332, predictive_accuracy: 0.933, prior_entropy: 3.3219, relative_absolute_error: 0.1132, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1104, root_relative_squared_error: 0.368, unweighted_recall: 0.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9197, kappa: 0.9106, kb_relative_information_score: 0.9128, mean_absolute_error: 0.0222, mean_prior_absolute_error: 0.18, weighted_recall: 0.9195, number_of_instances: 2000, precision: 0.9201, predictive_accuracy: 0.9195, prior_entropy: 3.3219, relative_absolute_error: 0.1232, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1199, root_relative_squared_error: 0.3998, unweighted_recall: 0.9195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.954, kappa: 0.9489, kb_relative_information_score: 0.9286, mean_absolute_error: 0.0217, mean_prior_absolute_error: 0.18, weighted_recall: 0.954, number_of_instances: 2000, precision: 0.954, predictive_accuracy: 0.954, prior_entropy: 3.3219, relative_absolute_error: 0.1206, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0932, root_relative_squared_error: 0.3107, unweighted_recall: 0.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9105, kappa: 0.9011, kb_relative_information_score: 0.4735, mean_absolute_error: 0.1375, mean_prior_absolute_error: 0.18, weighted_recall: 0.911, number_of_instances: 2000, precision: 0.9122, predictive_accuracy: 0.911, prior_entropy: 3.3219, relative_absolute_error: 0.7642, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.234, root_relative_squared_error: 0.7798, unweighted_recall: 0.911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9455, kappa: 0.9394, kb_relative_information_score: 0.9301, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.18, weighted_recall: 0.9455, number_of_instances: 2000, precision: 0.9455, predictive_accuracy: 0.9455, prior_entropy: 3.3219, relative_absolute_error: 0.1087, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1008, root_relative_squared_error: 0.336, unweighted_recall: 0.9455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9399, kappa: 0.9333, kb_relative_information_score: 0.7923, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.18, weighted_recall: 0.94, number_of_instances: 2000, precision: 0.9401, predictive_accuracy: 0.94, prior_entropy: 3.3219, relative_absolute_error: 0.3853, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1379, root_relative_squared_error: 0.4597, unweighted_recall: 0.94,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9529, kappa: 0.9478, kb_relative_information_score: 0.9088, mean_absolute_error: 0.0298, mean_prior_absolute_error: 0.18, weighted_recall: 0.953, number_of_instances: 2000, precision: 0.9531, predictive_accuracy: 0.953, prior_entropy: 3.3219, relative_absolute_error: 0.1656, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0976, root_relative_squared_error: 0.3254, unweighted_recall: 0.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9197, kappa: 0.9106, kb_relative_information_score: 0.9128, mean_absolute_error: 0.0222, mean_prior_absolute_error: 0.18, weighted_recall: 0.9195, number_of_instances: 2000, precision: 0.9201, predictive_accuracy: 0.9195, prior_entropy: 3.3219, relative_absolute_error: 0.1232, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1199, root_relative_squared_error: 0.3998, unweighted_recall: 0.9195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.943, kappa: 0.9367, kb_relative_information_score: 0.9434, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.18, weighted_recall: 0.943, number_of_instances: 2000, precision: 0.9432, predictive_accuracy: 0.943, prior_entropy: 3.3219, relative_absolute_error: 0.0733, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0952, root_relative_squared_error: 0.3174, unweighted_recall: 0.943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9485, kappa: 0.9428, kb_relative_information_score: 0.9432, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.18, weighted_recall: 0.9485, number_of_instances: 2000, precision: 0.9489, predictive_accuracy: 0.9485, prior_entropy: 3.3219, relative_absolute_error: 0.0832, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0886, root_relative_squared_error: 0.2953, unweighted_recall: 0.9485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.944, kappa: 0.9378, kb_relative_information_score: 0.8343, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.18, weighted_recall: 0.944, number_of_instances: 2000, precision: 0.9442, predictive_accuracy: 0.944, prior_entropy: 3.3219, relative_absolute_error: 0.3018, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1215, root_relative_squared_error: 0.4051, unweighted_recall: 0.944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.953, kappa: 0.9478, kb_relative_information_score: 0.9258, mean_absolute_error: 0.0232, mean_prior_absolute_error: 0.18, weighted_recall: 0.953, number_of_instances: 2000, precision: 0.9533, predictive_accuracy: 0.953, prior_entropy: 3.3219, relative_absolute_error: 0.129, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0871, root_relative_squared_error: 0.2902, unweighted_recall: 0.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9105, kappa: 0.9011, kb_relative_information_score: 0.4735, mean_absolute_error: 0.1375, mean_prior_absolute_error: 0.18, weighted_recall: 0.911, number_of_instances: 2000, precision: 0.9122, predictive_accuracy: 0.911, prior_entropy: 3.3219, relative_absolute_error: 0.7642, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.234, root_relative_squared_error: 0.7798, unweighted_recall: 0.911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9529, kappa: 0.9478, kb_relative_information_score: 0.9088, mean_absolute_error: 0.0298, mean_prior_absolute_error: 0.18, weighted_recall: 0.953, number_of_instances: 2000, precision: 0.9531, predictive_accuracy: 0.953, prior_entropy: 3.3219, relative_absolute_error: 0.1656, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0976, root_relative_squared_error: 0.3254, unweighted_recall: 0.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9529, kappa: 0.9478, kb_relative_information_score: 0.9088, mean_absolute_error: 0.0298, mean_prior_absolute_error: 0.18, weighted_recall: 0.953, number_of_instances: 2000, precision: 0.9531, predictive_accuracy: 0.953, prior_entropy: 3.3219, relative_absolute_error: 0.1656, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0976, root_relative_squared_error: 0.3254, unweighted_recall: 0.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9105, kappa: 0.9011, kb_relative_information_score: 0.4735, mean_absolute_error: 0.1375, mean_prior_absolute_error: 0.18, weighted_recall: 0.911, number_of_instances: 2000, precision: 0.9122, predictive_accuracy: 0.911, prior_entropy: 3.3219, relative_absolute_error: 0.7642, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.234, root_relative_squared_error: 0.7798, unweighted_recall: 0.911,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9529, kappa: 0.9478, kb_relative_information_score: 0.9088, mean_absolute_error: 0.0298, mean_prior_absolute_error: 0.18, weighted_recall: 0.953, number_of_instances: 2000, precision: 0.9531, predictive_accuracy: 0.953, prior_entropy: 3.3219, relative_absolute_error: 0.1656, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0976, root_relative_squared_error: 0.3254, unweighted_recall: 0.953,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9529, kappa: 0.9478, kb_relative_information_score: 0.9088, mean_absolute_error: 0.0298, mean_prior_absolute_error: 0.18, weighted_recall: 0.953, number_of_instances: 2000, precision: 0.9531, predictive_accuracy: 0.953, prior_entropy: 3.3219, relative_absolute_error: 0.1656, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0976, root_relative_squared_error: 0.3254, unweighted_recall: 0.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9529, kappa: 0.9478, kb_relative_information_score: 0.9088, mean_absolute_error: 0.0298, mean_prior_absolute_error: 0.18, weighted_recall: 0.953, number_of_instances: 2000, precision: 0.9531, predictive_accuracy: 0.953, prior_entropy: 3.3219, relative_absolute_error: 0.1656, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0976, root_relative_squared_error: 0.3254, unweighted_recall: 0.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9529, kappa: 0.9478, kb_relative_information_score: 0.9088, mean_absolute_error: 0.0298, mean_prior_absolute_error: 0.18, weighted_recall: 0.953, number_of_instances: 2000, precision: 0.9531, predictive_accuracy: 0.953, prior_entropy: 3.3219, relative_absolute_error: 0.1656, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0976, root_relative_squared_error: 0.3254, unweighted_recall: 0.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9529, kappa: 0.9478, kb_relative_information_score: 0.9088, mean_absolute_error: 0.0298, mean_prior_absolute_error: 0.18, weighted_recall: 0.953, number_of_instances: 2000, precision: 0.9531, predictive_accuracy: 0.953, prior_entropy: 3.3219, relative_absolute_error: 0.1656, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0976, root_relative_squared_error: 0.3254, unweighted_recall: 0.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9529, kappa: 0.9478, kb_relative_information_score: 0.9088, mean_absolute_error: 0.0298, mean_prior_absolute_error: 0.18, weighted_recall: 0.953, number_of_instances: 2000, precision: 0.9531, predictive_accuracy: 0.953, prior_entropy: 3.3219, relative_absolute_error: 0.1656, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0976, root_relative_squared_error: 0.3254, unweighted_recall: 0.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9105, kappa: 0.9011, kb_relative_information_score: 0.4735, mean_absolute_error: 0.1375, mean_prior_absolute_error: 0.18, weighted_recall: 0.911, number_of_instances: 2000, precision: 0.9122, predictive_accuracy: 0.911, prior_entropy: 3.3219, relative_absolute_error: 0.7642, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.234, root_relative_squared_error: 0.7798, unweighted_recall: 0.911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9105, kappa: 0.9011, kb_relative_information_score: 0.4735, mean_absolute_error: 0.1375, mean_prior_absolute_error: 0.18, weighted_recall: 0.911, number_of_instances: 2000, precision: 0.9122, predictive_accuracy: 0.911, prior_entropy: 3.3219, relative_absolute_error: 0.7642, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.234, root_relative_squared_error: 0.7798, unweighted_recall: 0.911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9105, kappa: 0.9011, kb_relative_information_score: 0.4735, mean_absolute_error: 0.1375, mean_prior_absolute_error: 0.18, weighted_recall: 0.911, number_of_instances: 2000, precision: 0.9122, predictive_accuracy: 0.911, prior_entropy: 3.3219, relative_absolute_error: 0.7642, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.234, root_relative_squared_error: 0.7798, unweighted_recall: 0.911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9211, kappa: 0.9122, kb_relative_information_score: 0.914, mean_absolute_error: 0.022, mean_prior_absolute_error: 0.18, weighted_recall: 0.921, number_of_instances: 2000, precision: 0.9214, predictive_accuracy: 0.921, prior_entropy: 3.3219, relative_absolute_error: 0.1222, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1189, root_relative_squared_error: 0.3965, unweighted_recall: 0.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9529, kappa: 0.9478, kb_relative_information_score: 0.9088, mean_absolute_error: 0.0298, mean_prior_absolute_error: 0.18, weighted_recall: 0.953, number_of_instances: 2000, precision: 0.9531, predictive_accuracy: 0.953, prior_entropy: 3.3219, relative_absolute_error: 0.1656, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0976, root_relative_squared_error: 0.3254, unweighted_recall: 0.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9105, kappa: 0.9011, kb_relative_information_score: 0.4735, mean_absolute_error: 0.1375, mean_prior_absolute_error: 0.18, weighted_recall: 0.911, number_of_instances: 2000, precision: 0.9122, predictive_accuracy: 0.911, prior_entropy: 3.3219, relative_absolute_error: 0.7642, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.234, root_relative_squared_error: 0.7798, unweighted_recall: 0.911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9529, kappa: 0.9478, kb_relative_information_score: 0.9088, mean_absolute_error: 0.0298, mean_prior_absolute_error: 0.18, weighted_recall: 0.953, number_of_instances: 2000, precision: 0.9531, predictive_accuracy: 0.953, prior_entropy: 3.3219, relative_absolute_error: 0.1656, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0976, root_relative_squared_error: 0.3254, unweighted_recall: 0.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9529, kappa: 0.9478, kb_relative_information_score: 0.9088, mean_absolute_error: 0.0298, mean_prior_absolute_error: 0.18, weighted_recall: 0.953, number_of_instances: 2000, precision: 0.9531, predictive_accuracy: 0.953, prior_entropy: 3.3219, relative_absolute_error: 0.1656, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0976, root_relative_squared_error: 0.3254, unweighted_recall: 0.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9529, kappa: 0.9478, kb_relative_information_score: 0.9088, mean_absolute_error: 0.0298, mean_prior_absolute_error: 0.18, weighted_recall: 0.953, number_of_instances: 2000, precision: 0.9531, predictive_accuracy: 0.953, prior_entropy: 3.3219, relative_absolute_error: 0.1656, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0976, root_relative_squared_error: 0.3254, unweighted_recall: 0.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9197, kappa: 0.9106, kb_relative_information_score: 0.9127, mean_absolute_error: 0.0222, mean_prior_absolute_error: 0.18, weighted_recall: 0.9195, number_of_instances: 2000, precision: 0.9201, predictive_accuracy: 0.9195, prior_entropy: 3.3219, relative_absolute_error: 0.1236, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.12, root_relative_squared_error: 0.4, unweighted_recall: 0.9195,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs